Giovanni Volpe’s research focuses on the intersection of physics and life sciences, specializing in the development of advanced imaging techniques using AI and optical tools. His work includes designing deep learning frameworks for high-resolution microscopy (e.g., the Python frameworks DeepTrack and Deeplay, the neuroscience software BRAPH and BRAPH2) and optical manipulation methods for single-cell studies (e.g., optical tweezers, light-sheet microscopy).
Giovanni Volpe
University of Gothenburg
Keywords
Advanced Microscopy Techniques, Artificial Intelligence for Microscopy, Biophysical Imaging Tools, Cellular and Single-Cell Imaging, Deep Learning Image Analysis, High-Throughput Data Analysis, Innovative Imaging Solutions, Interdisciplinary Research and Development, Machine Learning Algorithms, Optical Trapping and Manipulation
Key Publications
Age-related differences in the functional topography of the locus coeruleus and their implications for cognitive and affective functions
eLife, 2023
Age-related differences in the functional topography of the locus coeruleus: implications for cognitive and affective functions
2023
Age-related differences in the functional topography of the locus coeruleus: implications for cognitive and affective functions
2023